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Job Summary
We are seeking a Senior Front-End Engineer with deep expertise in JavaScript and modern front-end frameworks including React, Vue.js (Nuxt3), Next.js, and Svelte. This role involves building high-performance, responsive interfaces for AI-driven platforms, with a focus on clean design, maintainability, and seamless user experience. Familiarity with Nest.js for backend integration and Lit.js for reusable web components is a plus. Experience working with AI interface platforms, such as OpenWebUI, is highly desirable.
Key Responsibilities:
.Lead the development of scalable and dynamic front-end applications using React, Vue.js (Nuxt3), Next.js, Svelte, and TypeScript.
.Build reusable components and design systems, including lightweight Lit.js web components.
.Optimize front-end performance through SSR, code splitting, lazy loading, hydration, and runtime
optimization.
.Collaborate closely with ML engineers, backend developers, and designers to deliver intuitive, AI-powered user experiences.
.Work with state management libraries like Redux, Vuex, Pinia, or Svelte Stores.
.Build accessible and responsive applications that are cross-browser and cross-device compatible.
.Contribute to testing, documentation, and CI/CD automation to maintain high code quality.
.Participate in architectural discussions, code reviews, and mentor junior front-end engineers.
Required Skills & Qualifications
.5+ years of front-end development experience with strong command over JavaScript and TypeScript.
.Deep expertise in React, Vue.js (Nuxt3), Next.js, and Svelte.
. Proficient in responsive design, accessibility (WCAG), and front-end performance optimization.
.Experience with Lit.js for building modular and reusable UI components.
.Familiarity with Git workflows, modern CI/CD pipelines, and build tools like Vite, Webpack, or Rollup.
Optional but Desirable (AI-Focused Skills)
.Experience designing user interfaces for AI/LLM platforms, AI chat UIs, or output visualizations.
.Hands-on knowledge of OpenWebUI, or similar LLM-based interface platforms.
.Integration experience with AI APIs (e.g., OpenAI, Hugging Face, Cohere) and handling model output in real
time.
.Familiarity with Transformers.js, LangChain.js, WebLLM, or token-based interaction flows.
.Experience in web-based data visualization using D3.js, Chart.js, Recharts, or Plotly.
.Understanding of prompt chaining, model latency, and front-end considerations for AI workflows.
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